Triple
T16892575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chance Combs |
E424211
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Chance Combs |
E424211
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Chance Combs | Statement: [Chance Combs, name, Chance Combs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chance Combs Context triple: [Chance Combs, name, Chance Combs]
-
A.
Chance Combs
chosen
Chance Combs is the daughter of rapper and entrepreneur Sean "Diddy" Combs and model Sarah Chapman.
-
B.
Justin Dior Combs
Justin Dior Combs is an American socialite, former college football player, and media personality best known as the son of hip-hop mogul Sean "Diddy" Combs.
-
C.
Leon Bridges
Leon Bridges is an American soul and R&B singer-songwriter known for his retro-inspired sound and breakout debut album "Coming Home."
-
D.
King Combs
King Combs is an American rapper, singer, and model, best known as the son of Sean "Diddy" Combs and for his nostalgic, 1990s-inspired hip-hop and R&B music.
-
E.
Braison Cyrus
Braison Cyrus is an American actor, model, and musician best known as a member of the Cyrus entertainment family.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3bbc5a5308190937ebd05356bd91d |
completed | April 18, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7a7fd8481908ef82a13418b1c2d |
completed | May 10, 2026, 6 p.m. |
Created at: April 10, 2026, 5:29 a.m.